Mridangam Stroke Dataset

The Mridangam Stroke dataset is a collection of 6977 audio examples of individual strokes of the Mridangam in various tonics. The dataset comprises of 10 different strokes played on Mridangams with 6 different tonic values. This is an updated version of the dataset, as the original version 1.0 presents some silent or wrong annotated tracks. <strong>Audio content</strong> The dataset provides audio examples for each of the strokes. There are six different tonics and ten different stroke labels. The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studio conditions by Akshay Anantapadmanabhan using SM-58 microphones and an H4n ZOOM recorder. The audio was sampled at 44.1 kHz and stored as 16 bit wav files. The dataset can be used for training models for each Mridangam stroke. <strong>Metadata</strong> The whole dataset is organized by the tonic, into 6 packs. Each audio file is named as, <pre><code>&lt;StrokeName&gt;_&lt;Tonic&gt;_&lt;InstanceNumber&gt;.wav &lt;Tonic&gt; = {B, C, Csh, D, Dsh, E} &lt;StrokeName&gt; = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}</code></pre> <strong>Using this dataset</strong> A detailed description of the Mridangam and its strokes can be found in the following paper. A part of the dataset was used in the paper. Please cite it if you use the dataset in your work. Akshay Anantapadmanabhan, Ashwin Bellur, Hema A. Murthy, "Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization," in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), pp.181-185, May 2013 http://hdl.handle.net/10230/25756 We are interested in knowing if you find our datasets useful! If you use our dataset please email us at [e-mail] and tell us about your research. <strong>Contact</strong> If you have any questions or comments about the dataset, please feel free to write to us: Akshay Anantapadmanabhan ([e-mail]) http://compmusic.upf.edu/mridangam-stroke-dataset木丹加鼓（Mridangam）敲击声数据集收录了6977条不同调高下的单段木丹加鼓敲击声音频样本。该数据集包含10种不同的敲击类型，对应6种不同的调高参数。本次发布为数据集更新版本，原始1.0版本存在部分无声或标注错误的音频片段。 <strong>音频内容</strong> 本数据集为每一种敲击类型均提供音频样本，涵盖全部6种调高与10种敲击标签。该数据集由Akshay Anantapadmanabhan使用SM-58麦克风与H4n ZOOM录音机，在半消声室环境下录制自一位专业卡纳提克打击乐手。音频采样率为44.1 kHz，以16位WAV格式存储。本数据集可用于训练针对各类木丹加鼓敲击声的识别模型。 <strong>元数据</strong> 整个数据集按照调高分为6个分组，每个音频文件的命名格式如下： <pre><code>&lt;StrokeName&gt;_&lt;Tonic&gt;_&lt;InstanceNumber&gt;.wav &lt;Tonic&gt; = {B, C, Csh, D, Dsh, E} &lt;StrokeName&gt; = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}</code></pre> 其中，<StrokeName>为敲击类型名称，<Tonic>为调高参数，<InstanceNumber>为样本编号，其中Csh代表升C，Dsh代表升D。 <strong>数据集使用说明</strong> 关于木丹加鼓及其敲击类型的详细说明可参阅下述论文，本数据集的部分内容曾用于该论文研究。若您在研究中使用本数据集，请引用该文献。 Akshay Anantapadmanabhan、Ashwin Bellur、Hema A. Murthy，《基于非负矩阵分解的木丹加鼓敲击声模态分析与转录》，发表于IEEE国际声学、语音与信号处理会议（ICASSP 2013），第181-185页，2013年5月，链接：http://hdl.handle.net/10230/25756 我们十分乐意了解您是否认为本数据集对您的研究有所助益！若您使用本数据集，请发送邮件至[e-mail]与我们分享您的研究进展。 <strong>联系方式</strong> 若您对本数据集有任何疑问或建议，欢迎联系：Akshay Anantapadmanabhan（邮箱：[e-mail]），数据集官方主页：http://compmusic.upf.edu/mridangam-stroke-dataset